| ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines | Feb 8, 2023 | CPUDynamic neural networks | —Unverified | 0 |
| Fully Learnable Group Convolution for Acceleration of Deep Neural Networks | Mar 31, 2019 | CPU | —Unverified | 0 |
| FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs | Sep 3, 2023 | CPUGPU | —Unverified | 0 |
| FusionANNS: An Efficient CPU/GPU Cooperative Processing Architecture for Billion-scale Approximate Nearest Neighbor Search | Sep 25, 2024 | Collaborative FilteringCPU | —Unverified | 0 |
| Fusion of multispectral satellite imagery using a cluster of graphics processing unit | Mar 2, 2018 | CPUGPU | —Unverified | 0 |
| FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads | Sep 23, 2020 | Code GenerationCPU | —Unverified | 0 |
| Finite volume method network for acceleration of unsteady computational fluid dynamics: non-reacting and reacting flows | May 7, 2021 | CPUTime Series | —Unverified | 0 |
| GANDSE: Generative Adversarial Network based Design Space Exploration for Neural Network Accelerator Design | Aug 1, 2022 | CPUDeep Learning | —Unverified | 0 |
| Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms | Jul 3, 2024 | BenchmarkingCPU | —Unverified | 0 |
| An Adaptive Device-Edge Co-Inference Framework Based on Soft Actor-Critic | Jan 9, 2022 | CPUDeep Reinforcement Learning | —Unverified | 0 |
